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In this paper we describe a neural network for the nonlinear adaptive prediction of non-stationary signals and demonstrate its application to a speech signal. The network is a multi-layer perceptron trained with the backpropagation algorithm. The detail of this structure is that it is no recursive, it permits a reduction in the days of training and a big(More)
— In this paper, a 2 nd order tunable RF CMOS LC bandpass filter is presented. Q-enhancement and tuning are also considered. The Q-tuning is implemented through an adjustable negative conductance generator circuit. The simulated results show that using a 0.35 µm AMS CMOS process, the filter operates at center frequency varying from 1.69 GHz to 2.33 GHz(More)
A tunable Q-enhanced bandpass filter is presented. The Q of the passive inductors that form the filter resonators is enhanced using a cross-coupled differential pair of transistors which is degenerated by a negative resistance. This technique allows compensation of frequency dependent inductor losses and ensures the Q-enhanced LC resonators to have(More)
A CMOS phase-locked loop (PLL) which synthesizes frequencies between 2.4 and 2.479 GHz with 1-MHz channel spacing and settles in approximately 100 μs is presented. The highlights of the topology are an N integer PLL architecture that operates with 1-MHz reference frequency and a passive discrete-time loop filter. The output signal is generated by a(More)
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